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  • Use SQL to query a data for reports
  • Get a job as a junior Data Analytics developer
  • Advanced SQL statements
  • Use Workbench to prepare Database schema structure
  • Be comfortable putting SQL and MySQL on their resume
  • Learn to perform GROUP BY statements for Business Intelligence reports
  • Replicate real-world situations and query reports
  • Complete basic SELECT statements querying against a single table
  • Filter data using the WHERE clause to identify required data
  • Apply SQL for Data Science
  • Using JOINS, return data from multiple tables in the same query
  • Complete Analysis statements that use aggregate functions
  • Import and Export .CSV, Excel to SQL Database
  • Performing Secure Backup and Restore Full SQL Database

Learn how to use MySQL for Data Science quickly and effectively with this course!

At this Masterclass on SQL course is without a doubt the most comprehensive SQL database course available online. Even if you have zero SQL experience, this course will take you from beginner to mastery. Here's why:

You'll learn how to read and write complex queries to a database using one of the most in demand skills - MySQL Server. These skills are also applicable to any other major RDBMS database, such as MySQL, PostgreSQL, Amazon Redshift, Oracle, and much more.

Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems.

 

Whether you have successfully completed the other courses in the Learn SQL for Data Science and Data Analytics or are taking just this course, this roadmap is your chance to apply the knowledge and skills you have acquired to practice important SQL querying and solve problems with data. You will participate in your own personal or professional journey to create a portfolio-worthy piece from start to finish. You will choose a own dataset and develop a project proposal. You will explore your data and perform some initial statistics you have learned through this course. You will uncover analytics for qualitative data and consider new metrics that make sense from the patterns that surface in your analysis. You will put all of your work together in the form of a presentation where you will tell the story of your findings.

 

Learning SQL for Data Science is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! In this course you'll learn quickly and receive challenges and tests along the way to improve your understanding!

 

The course is taught by the lead instructor having 20+ years of professional experience.

 

We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a SQL Data Science developer.

 

Database Administrator

☞ DBAs must possess in-depth SQL knowledge so they can understand and review SQL and host language programs in order to recommend changes for optimization. Also to do performance management & tuning.

 

Data Science Aspirants

☞ Learn to handle large volumes of numerical data, bring coherence to the data and make it useful for senior management in their decision making process.

 

Aspiring Analysts​

☞ Candidates will learn to create efficient, robust and flexible Database to report and analyze historical data.

 

Developers

☞ SQL developers must have in-depth knowledge to query, define, manipulate, control and analyze the data in database.

 

University Students

☞ MySQL is one of the most in demand skill in any data related job that all recruiters specifically look for, boosting your job prospects by over 40%.

 

Job Seekers

☞ Build an impressive resume with practical work & projects to back your Database Management Skills & get certified by a SQL Expert.

 

In this course you will be learn everything you need to become a SQL Data Science Pro! Including:

 

    Get started with MySQL Server, MySQL Workbench these are the world's most popular Open-source SQL tools

    Learn the basics of SQL syntax

    Analyzing data using aggregate functions with GROUP BY commands

    Running advanced queries with string operations and comparison operations

    Learn to use logical operators to add logic flow to your SQL queries

    MySQL Workbench to Connect MySQL Server Instance

    Learn common SQL JOIN statements

    Learn to create tables and databases with constraints on data entries

    Learn to use Python to further advanced your SQL Data Science skills

    Import and Export .CSV or Excel files in to SQL Database

    Learn How to take Secure backup & restore database.

    Learn to write SELECT statements

    Learn to Create SQL scripts applying WHERE clause

    Applying Primary and Foreign Keys

    Creating Views and Accessing View Data

    Writing Stored Procedures for re-use SQL scripts

    Dynamic SQL queries and Aggregate Functions

    Subqueries to make complex queries

    EER Diagram to prepare and view the Schema Design

    Creating Different on required Business reports

    Learn to Write Statements for Decision Making Queries

    Apply Real world Data queries for Data Analytics and Data type

    SELECT on Query Calculations for Orders price on SALEs

    and much more!

 

This is course that put's you in control, having you create and restore databases, instead of watching someone else code steps. Every section comes with fresh challenge tasks, modeled after real world tasks and situations.

 

I've spent years as an instructor both online and in-person at Fortune 500 companies, and this course is built to combine the best of both worlds, allowing you to learn at your own pace through an interactive environment. You will start with the basics and soon find yourself working with advanced commands, dealing with timestamp data and variable character information like a seasoned professional.

 

SQL is one of the most in demand skills for business analysts, data scientists, and anyone who finds themselves working with data! Upgrade your skill set quickly and add SQL to your resume by joining today!

 

Check out the free preview videos for more information!

 

By the end of this course, you will be fluently programming and be ready to make any application you can dream of.

  •     Sign up today, and look forward to:

  •     HD Video Lectures

  •     SQL Query Challenges and SQL Query Exercises

  •     Beautiful Real-World dynamic Projects

  • No prior technical experience is required! All you need a computer!
  • No SQL experience needed. You will learn everything you need to know
  • No software is required in advance of the course (all software used in the course is free)
  • Beginner SQL, Data Science and Analytics - developers curious about SQL Career
  • Anyone who wants to generate new income streams
  • Anyone who works with data analytics, or databases!
  • Anyone who wants to become Business intelligence developer
  • Anyone who wants to start their own business or become freelance
  • Anyone who wants to become a Data Science developer
  • If you work in: marketing, finance, accounting, operations, sales, manufacturing, healthcare, financial services, or any other industry/function that collects information
  • Someone who wants to learn skills that give them the potential to earn near SIX figures!
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  • Section 1 : Getting Started 5 Lectures 00:07:02

    • Lecture 1 :
    • Lecture 2 :
    • How to get course requirements
    • Lecture 3 :
    • Getting started on Windows, Linux or Mac
    • Lecture 4 :
    • How to ask great questions
    • Lecture 5 :
    • FAQ’s
  • Section 2 : SQL Server setting up 5 Lectures 00:39:04

    • Lecture 1 :
    • Section Introduction
    • Lecture 2 :
    • MySQL Server Installation
    • Lecture 3 :
    • Connect MySQL Server Instance
    • Lecture 4 :
    • MySQL Workbench overview
    • Lecture 5 :
    • Download and Restore Sample Database
  • Section 3 : SQL Database basics 11 Lectures 00:53:52

    • Lecture 1 :
    • Section Introduction
    • Lecture 2 :
    • Overview of Databases
    • Lecture 3 :
    • Creating Database
    • Lecture 4 :
    • SQL Data Types
    • Lecture 5 :
    • Column Data Types on Workbench
    • Lecture 6 :
    • Creating Table
    • Lecture 7 :
    • Overview of Primary and Foreign Key
    • Lecture 8 :
    • Primary Key
    • Lecture 9 :
    • Foreign Key
    • Lecture 10 :
    • Creating Temporary tables
    • Lecture 11 :
    • EER – Enhanced Entity Relationship Diagrams
  • Section 4 : SQL DML (Data Manipulation Language) 4 Lectures 00:17:44

    • Lecture 1 :
    • Section Introduction
    • Lecture 2 :
    • Insert statement
    • Lecture 3 :
    • Update statement
    • Lecture 4 :
    • Delete statement
  • Section 5 : SQL DDL (Data Definition Language) 7 Lectures 00:25:33

    • Lecture 1 :
    • Section Introduction
    • Lecture 2 :
    • DROP statement
    • Lecture 3 :
    • TRUNCATE statement
    • Lecture 4 :
    • ALTER statement
    • Lecture 5 :
    • COMMENT in query
    • Lecture 6 :
    • RENAME table
    • Lecture 7 :
    • CREATE table statement
  • Section 6 : SQL DCL (Data Control Language) 3 Lectures 00:12:08

    • Lecture 1 :
    • Create Database user
    • Lecture 2 :
    • GRANT permissions
    • Lecture 3 :
    • REVOKE permissions
  • Section 7 : SQL Statement Basic 7 Lectures 00:18:46

    • Lecture 1 :
    • Section Introduction
    • Lecture 2 :
    • SQL Statement basic
    • Lecture 3 :
    • SELECT Statement
    • Lecture 4 :
    • SELECT DISTINCT
    • Lecture 5 :
    • SELECT with column headings
    • Lecture 6 :
    • Column AS statement
    • Lecture 7 :
    • DASHBOARD Analytics
  • Section 8 : Filtering Data rows 2 Lectures 00:09:19

    • Lecture 1 :
    • SELECT WHERE Clause – theory
    • Lecture 2 :
    • SELECT WHERE Clause – practical
  • Section 9 : Aggregate functions for Data Analysis 2 Lectures 00:09:00

    • Lecture 1 :
    • Sum()
    • Lecture 2 :
    • Min()-Max()
  • Section 10 : SQL Data Analyticstatements 5 Lectures 00:19:43

    • Lecture 1 :
    • Order By statement
    • Lecture 2 :
    • SELECT TOP 3 records
    • Lecture 3 :
    • BETWEEN command
    • Lecture 4 :
    • IN operator
    • Lecture 5 :
    • Search Data using LIKE cards
  • Section 11 : SQL Group by statement 4 Lectures 00:11:17

    • Lecture 1 :
    • Section Introduction
    • Lecture 2 :
    • Group by – theory
    • Lecture 3 :
    • Data Analytics with Group By
    • Lecture 4 :
    • HAVING statement
  • Section 12 : Joins 9 Lectures 00:23:25

    • Lecture 1 :
    • Overview of Joins
    • Lecture 2 :
    • What are Joins
    • Lecture 3 :
    • Inner join
    • Lecture 4 :
    • Left outer join
    • Lecture 5 :
    • Right outer join
    • Lecture 6 :
    • Union
    • Lecture 7 :
    • CERTESIAN Product or Cross Join
    • Lecture 8 :
    • Query Exercise
    • Lecture 9 :
    • Solution for Query Exercise
  • Section 13 : SQL Constraints 4 Lectures 00:18:33

    • Lecture 1 :
    • Section introduction
    • Lecture 2 :
    • Check constraint
    • Lecture 3 :
    • NOT NULL constraint
    • Lecture 4 :
    • UNIQUE constraint
  • Section 14 : Views 2 Lectures 00:06:39

    • Lecture 1 :
    • Creating Views
    • Lecture 2 :
    • Data Analytic Views from multiple tables
  • Section 15 : Advanced SQL Functions 8 Lectures 00:21:46

    • Lecture 1 :
    • Section Introduction
    • Lecture 2 :
    • Timestamp
    • Lecture 3 :
    • Extract from timestamp
    • Lecture 4 :
    • Mathematical scalar functions
    • Lecture 5 :
    • String functions
    • Lecture 6 :
    • Advanced functions
    • Lecture 7 :
    • Sub Queries
    • Lecture 8 :
    • SELECT with calculations
  • Section 16 : SQL Stored Procedure 3 Lectures 00:10:18

    • Lecture 1 :
    • Create stored procedure
    • Lecture 2 :
    • Stored procedure with parameter
    • Lecture 3 :
    • Drop Procedure
  • Section 17 : Import & Export data 3 Lectures 00:07:28

    • Lecture 1 :
    • Section Introduction
    • Lecture 2 :
    • Import .csv file
    • Lecture 3 :
    • Export Data to .csv file
  • Section 18 : Backup and Restore Database 3 Lectures 00:05:21

    • Lecture 1 :
    • Section Introduction
    • Lecture 2 :
    • Creating Database backup
    • Lecture 3 :
    • Restoring Database backup
  • How do i access the course after purchase?

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  • Can i play & pause the course as per my convenience?

    Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.
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    Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want.
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I am M. Sudha Sekhar, I am a Teacher and a Web Developer, and I am also passionate to teach every single real-time step that leads students as well as professionals to become successful with their carrier. What we know about web development and technologies: * Front-End web development: HTML, CSS, Bootstrap, JavaScript, Ajax and more... * Code-End web development: Asp.Net, C#, Python and PHP and more... * Back-End development: MS SQL, MySQL, PostgreSQL, MongoDB, MariaDB and more... * Operating Systems / Servers: RHEL - LINUX, Ubuntu, CentOS, Windows and more... Start solving your challenge now | Enroll today and learn real-time practical courses. I am passionate about: * Teaching students the correct way. * Making things simple and easy to understand. * Offering the best audio and video qualities to my courses. * Real-time Examples who will understand real-time skills easily. * Most of the Lectures will be practical way demonstrations using real-world solutions
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